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Wenjun Ke

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

35

Venues

12

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

35 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIBalanced Knowledge Distillation for Large Language Models with Mix-of-Experts.Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu
2026AAAIOptimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu
2026AAAIBenchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou
2026ACLFrom Outcome to Process: Optimizing MoE Load Balancing with MCTS.Wenjun Ke, Hengyuan Xu, Ziyu Shang, Yao He, Jiahao Wang, Zijie Xu, Peng Wang, Yuhang Lou, Jiajun Liu
2026ACLExploring Layer Activation Dynamic of CoT via Knowledge Probe.Chuanxin Zhang, Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Yankun Le, Sirui Liu, Zhaoyu Yang
2026ACLCapability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts.Jing Zhou, Peng Wang, Wenjun Ke, Jiajun Liu, Yao He
2026WWWUnlearning of Knowledge Graph Embedding via Preference Optimization.Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2025ACLOn the Consistency of Commonsense in Large Language Models.Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang
2025ACLLLM-Guided Semantic-Aware Clustering for Topic Modeling.Jianghan Liu, Ziyu Shang, Wenjun Ke, Peng Wang, Zhizhao Luo, Jiajun Liu, Guozheng Li, Yining Li
2025ACLAcquisition and Application of Novel Knowledge in Large Language Models.Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li
2025ICASSPExploring Meta Evidence for Prompt Optimization.Yao He, Jiajun Liu, Wenjun Ke, Peng Wang, Congda Xiao, Yining Li
2024AAAITowards Continual Knowledge Graph Embedding via Incremental Distillation.Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024AAAIUnify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype.Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang
2024AAAIOntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji
2024AAAIConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context.Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen
2024ACLBoosting Textural NER with Synthetic Image and Instructive Alignment.Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang
2024ADMABalanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition.Chenxiao Wu, Wenjie Ye, Jiajun Liu, Peng Wang, Wenjun Ke
2024COLINGUnlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
2024COLINGCMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News.Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang
2024ICANNBreaking the Corpus Bottleneck for Multi-dialect Speech Recognition with Flexible Adapters.Tengyue Deng, Jianguo Wei, Jiahao Yang, Minghao Guo, Wenjun Ke, Xiaokang Yang, Wenhuan Lu
2024ICASSPBoosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation.Zhizhao Luo, Youchen Wang, Wenjun Ke, Rui Qi, Yikai Guo, Peng Wang
2024IJCAIIncorporating Schema-Aware Description into Document-Level Event Extraction.Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu
2024IJCAIDomain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
2024IJCAIRecall, Retrieve and Reason: Towards Better In-Context Relation Extraction.Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
2024IJCAIFast and Continual Knowledge Graph Embedding via Incremental LoRA.Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024IJCAILearning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li
2024IJCAIMaking LLMs as Fine-Grained Relation Extraction Data Augmentor.Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang
2023AAAIOnline Noisy Continual Relation Learning.Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke
2023AAAIfmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation.Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke
2023EMNLPRevisiting Large Language Models as Zero-shot Relation Extractors.Guozheng Li, Peng Wang, Wenjun Ke
2023IJCAITowards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer.Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi
2022WSDMConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021PAKDDSemantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021QRSA Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model.Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke
2020QRSInterpretable Test Case Recommendation based on Knowledge Graph.Wenjun Ke, Chao Wu, Xiufeng Fu, Chen Gao, Yinyi Song